Publications

📚 Publications

📖 Forthcoming

• Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News
  Xingmeng Zhao, Xavier Walton, Suhana Shrestha, Anthony Rios.
  Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 2025.

• Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations
  James Ford, Xingmeng Zhao, Dan Schumacher, and Anthony Rios.
  Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025).

• Translating Natural Language Specifications into Access Control Policies by Leveraging Large Language Models
  Sherifdeen Lawal, Xingmeng Zhao, Anthony Rios, Ram Krishnan, and David Ferraiolo.
  IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications.

📄 2024 Publications

• A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models
  Xingmeng Zhao, Ali Niazi, Anthony Rios.
  Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2024.

• UTSA-NLP at ChemoTimelines 2024: Evaluating Instruction-Tuned Language Models for Temporal Relation Extraction
  Xingmeng Zhao and Anthony Rios.
  Proceedings of ClinicalNLP Workshop at NAACL 2024.

• Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary
  Xingmeng Zhao, Tongnian Wang, Anthony Rios.
  arXiv preprint arXiv:2406.14500, 2024.

📰 2023 Publications

• A Marker-based Neural Network System for Extracting Social Determinants of Health
  Xingmeng Zhao, Anthony Rios.
  Journal of the American Medical Informatics Association, 2023.

• UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization
  Tongnian Wang, Xingmeng Zhao, Anthony Rios.
  Proceedings of BioNLP Workshop at ACL, 2023.

• BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories?
  Xingmeng Zhao, Tongnian Wang, Sheri Osborn, and Anthony Rios.
  Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning (CoNLL) at EMNLP 2023.

📅 Earlier Publications

• UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks
  Xingmeng Zhao, Anthony Rios.
  Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval), 2022.

• Turning Stocks into Memes: A Dataset for Understanding How Social Communities Can Drive Wall Street
  Richard Alvarez, Paras Bhatt, Xingmeng Zhao, Anthony Rios.
  Proceedings of the International AAAI Conference on Web and Social Media, 2022.

For the most up-to-date list of my publications, please visit my Google Scholar profile.